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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 35 results
    Semantic segmentation of persons in an image.
      Model
      Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
        Model
        Sample notebooks for TAO Toolkit Computer Vision workflows.
        Resource
        Re-Identification network to generate embeddings for identifying persons in different scenes.
          Model
          Network to detect characters in an image.
            Model
            Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
              Model
              Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
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                Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
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                  Model to detect defects in soldered components on a Printed Circuit Board.
                    Model
                    Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
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                      Pre-trained deformable_detr weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
                        Model
                        Pose classification network to classify poses of people from their skeletons.
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                          Model to recognise characters from a preceding OCDNet model.
                            Model
                            Semantic segmentation of persons in an image.
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                              Embedding generator model to recognize objects on a checkout counter.
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                                DINO
                                Model trained on COCO2017 to detect and classify objects.
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                                  DINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
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                                    Pretrained model to generate semantic segmentation labels.
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                                      Pre-trained GCViT weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
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                                        Pre-trained EfficientNet backbone weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
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                                          Pre-trained DINO weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
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                                            3 pose detection model for retail objects.
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                                              Pre-trained segformer models trained on CityScapes.
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                                                Model trained on COCO2017 to detect and classify objects.
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